Design and Techno Economic Performance Assessment of Hydrogen Based Hybrid Microgrid Systems for Sustainable Industrial Energy Management

Authors

  • Imeldawaty Gultom STMIK Kaputama
  • Wibisono Wibisono Institut Teknologi Budi Utomo
  • Sigit Wibisono Institut Teknologi Budi Utomo
  • Aji Nurohman Institut Teknologi Budi Utomo
  • Irlon Irlon Institut Teknologi Budi Utomo

DOI:

https://doi.org/10.61132/ijmicse.v1i1.401

Keywords:

Economic feasibility, Energy storage, Hybrid microgrid, Hydrogen energy, Renewable integration

Abstract

Hydrogen-based hybrid microgrid systems have emerged as a promising solution to enhance renewable energy integration and improve energy supply reliability. By combining renewable sources such as solar and wind with hydrogen production and storage technologies, these systems address the intermittency of renewable power while ensuring continuous energy availability. This study evaluates the techno-economic feasibility, environmental impact, and scalability of hydrogen-based hybrid microgrids, with a focus on cost-effectiveness and system performance under varying operating conditions. Simulation tools, including HOMER Pro and MATLAB Simulink, are used to model the system and conduct sensitivity analyses on hydrogen production costs and demand fluctuations. Key performance indicators such as Levelized Cost of Energy (LCOE), Net Present Value (NPV), and CO₂ emissions reduction are assessed. The results show that although the system requires a high initial investment, it becomes economically viable over time due to reduced operational costs and improved efficiency. Additionally, the system demonstrates significant environmental benefits, outperforming conventional fossil fuel-based systems in terms of emissions reduction. Sensitivity analysis further indicates that advancements in hydrogen production technologies could substantially enhance economic feasibility. Overall, hydrogen-based hybrid microgrids offer a reliable and low-carbon energy solution, supporting sustainable energy transitions and reducing dependence on fossil fuels.

References

Abdolmaleki, L., Jahanbin, A., & Berardi, U. (2024). Net-zero energy management through multi-criteria optimizations of a hybrid solar-hydrogen energy system for a laboratory in Toronto, Canada. Energy and Buildings, 312. https://doi.org/10.1016/j.enbuild.2024.114186

Alharthi, Y. Z. (2024). An Analysis of Hybrid Renewable Energy-Based Hydrogen Production and Power Supply for Off-Grid Systems. Processes, 12(6). https://doi.org/10.3390/pr12061201

Alıç, O. (2024). A holistic techno-economic feasibility analysis of residential renewable energy systems: An insight into Turkish case. Journal of Energy Storage, 94. https://doi.org/10.1016/j.est.2024.112433

Anap, P. R., & Date, T. N. (2018). Energy Management in Microgrid by Using Classical Method and Particle Swarm Optimization Method. 2018 International Conference On Advances in Communication and Computing Technology, ICACCT 2018, 528 – 533. https://doi.org/10.1109/ICACCT.2018.8529630

Arsalis, A., Georghiou, G. E., & Papanastasiou, P. (2022). Recent Research Progress in Hybrid Photovoltaic–Regenerative Hydrogen Fuel Cell Microgrid Systems. Energies, 15(10). https://doi.org/10.3390/en15103512

Ashagire, A. A., Assilevi, K. R., Adjallah, K. H., Ajavon, A. S., & Bekele, G. (2021). Design approach of a resilient standalone hybrid AC/DC microgrid of multisource renewable energy with risk reduction strategy. International Conference on Electrical, Computer, and Energy Technologies, ICECET 2021. https://doi.org/10.1109/ICECET52533.2021.9698573

Azeem, O., Ali, M., Abbas, G., Uzair, M., Qahmash, A., Algarni, A., & Hussain, M. R. (2021). A comprehensive review on integration challenges, optimization techniques and control strategies of hybrid ac/dc microgrid. Applied Sciences (Switzerland), 11(14). https://doi.org/10.3390/app11146242

Babaniyi, B. R., Adebomi, J. I., Olowoyeye, B. R., Daramola, O. E., Bisi-Omotosho, A., & Areo, I. F. (2024). Decarbonization and the future fuels. In Microbial Biotechnology for Bioenergy. https://doi.org/10.1016/B978-0-443-14112-6.00005-5

Babu, K. V. S. M., Dwivedi, D., Chakraborty, P., Yemula, P. K., & Pal, M. (2024). A Resilient Power Distribution System Using P2P Energy Sharing. IEEE Transactions on Industry Applications, 60(6), 8228 – 8238. https://doi.org/10.1109/TIA.2024.3443246

Bhandari, R., & Adhikari, N. (2024). A comprehensive review on the role of hydrogen in renewable energy systems. International Journal of Hydrogen Energy, 82, 923 – 951. https://doi.org/10.1016/j.ijhydene.2024.08.004

Cai, M., Deng, H., Chen, F., & Shao, Z. (2022). State Variables-Based Interval Optimization Method of Combined Electric and Heat Microgrid Considering loss. Proceedings - 2022 7th Asia Conference on Power and Electrical Engineering, ACPEE 2022, 864 – 868. https://doi.org/10.1109/ACPEE53904.2022.9783822

Campos, F. A., Villar, J., & Cervilla, C. (2015). Profitability measures and cost minimization in electricity generation investments. International Conference on the European Energy Market, EEM, 2015-August. https://doi.org/10.1109/EEM.2015.7216602

Canziani, F., Vargas, R., Castilla, M., & Miret, J. (2021). Reliability and energy costs analysis of a rural hybrid microgrid using measured data and battery dynamics: A case study in the coast of perú. Energies, 14(19). https://doi.org/10.3390/en14196396

Chen, T., Cao, Y., Qing, X., Zhang, J., Sun, Y., & Amaratunga, G. A. J. (2022). Multi-energy microgrid robust energy management with a novel decision-making strategy. Energy, 239. https://doi.org/10.1016/j.energy.2021.121840

Chitt, M., Thangavel, S., Verma, V., & Kumar, A. (2024). Green hydrogen productions: Methods, designs and smart applications. In Highly Efficient Thermal Renewable Energy Systems: Design, Optimization and Applications. https://doi.org/10.1201/9781003472629-16

Cormos, A.-M., Dragan, S., Petrescu, L., Sandu, V., & Cormos, C.-C. (2020). Techno-economic and environmental evaluations of decarbonized fossil-intensive industrial processes by reactive absorption and adsorption CO2 capture systems. Energies, 13(5). https://doi.org/10.3390/en13051268

Cormos, C.-C., Dragan, S., Cormos, A.-M., Petrescu, L., Sandu, V.-C., Dumbrava, I.-D., & Galusnyak, S. (2021). Application of Carbonate Looping Cycle as an Energy-efficient Decarbonization Process of Key Fossil-intensive Industrial Applications. Proceedings of 2021 10th International Conference on ENERGY and ENVIRONMENT, CIEM 2021. https://doi.org/10.1109/CIEM52821.2021.9614941

Dawood, F., Shafiullah, G. M., & Anda, M. (2020). Stand-alone microgrid with 100% renewable energy: A case study with hybrid solar pv-battery-hydrogen. Sustainability (Switzerland), 12(5). https://doi.org/10.3390/su12052047

De Bastiani, M., Larini, V., Montecucco, R., & Grancini, G. (2022). The levelized cost of electricity from perovskite photovoltaics. Energy and Environmental Science, 16(2), 421–429. https://doi.org/10.1039/d2ee03136a

De Clercq, S., Zwaenepoel, B., & Vandevelde, L. (2018). Optimal sizing of an industrial microgrid considering socio-organisational aspects. IET Generation, Transmission and Distribution, 12(14), 3442–3451. https://doi.org/10.1049/iet-gtd.2017.1545

Demirocak, D. E. (2017). Hydrogen storage technologies. In Nanostructured Materials for Next-Generation Energy Storage and Conversion: Hydrogen Production, Storage, and Utilization. https://doi.org/10.1007/978-3-662-53514-1_4

Dey, B., Bhattacharyya, B., Srivastava, A., & Shivam, K. (2020). Solving energy management of renewable integrated microgrid systems using crow search algorithm. Soft Computing, 24(14), 10433 – 10454. https://doi.org/10.1007/s00500-019-04553-8

Dinesh Prabu, V. K., Sridevi, R., Karunakaran, M., & Suresh, V. (2024). HRES based battery system with optimal ANFIS-MPPT for microgrid applications. Proceedings of International Conference on Circuit Power and Computing Technologies, ICCPCT 2024, 1710–1716. https://doi.org/10.1109/ICCPCT61902.2024.10673236

Emblemsvåg, J. (2024). Understanding the levelized cost of energy. In Handbook of Electrical Power Systems: Energy Technology and Management in Dialogue. https://doi.org/10.1515/9783111264271-009

Gherairi, S. (2023). Design and implementation of an intelligent energy management system for smart home utilizing a multi-agent system. Ain Shams Engineering Journal, 14(3). https://doi.org/10.1016/j.asej.2022.101897

Govindasamy, S., Balapattabi, S. R., Kaliappan, B., & Badrinarayanan, V. (2023). Energy management in microgrids using IoT considering uncertainties of renewable energy sources and electric demands: GBDT-JS approach. Electrical Engineering, 105(6), 4409 – 4426. https://doi.org/10.1007/s00202-023-01947-8

Gupta, M., & Bhargava, A. (2024). Optimal design of hybrid renewable-energy microgrid system: A techno-economic-environment-social- reliability perspective. Clean Energy, 8(1), 66 – 83. https://doi.org/10.1093/ce/zkad069

Hassan, A., Triki, H., Trabelsi, H., & Haddar, M. (2024). Literature Review of Scheduling Problems Using Artificial Intelligence Technologies Based on Machine Learning. Lecture Notes in Mechanical Engineering, 341 – 348. https://doi.org/10.1007/978-3-031-67152-4_36

Hassan, I. A., Ramadan, H. S., Saleh, M. A., & Hissel, D. (2021). Hydrogen storage technologies for stationary and mobile applications: Review, analysis and perspectives. Renewable and Sustainable Energy Reviews, 149. https://doi.org/10.1016/j.rser.2021.111311

Hemakesavulu, O., Lalitha, M. P., Baya Reddy, L., & Harshitha, S. (2024). Design and Implementation of a Hybrid AC-DC Micro Grid for Voltage and Frequency Stabilization by using Advanced Control Techniques. 12th International Conference on Smart Grid, IcSmartGrid 2024, 136 – 141. https://doi.org/10.1109/icSmartGrid61824.2024.10578237

Hosseini, Z. S., Khodaei, A., Bahramirad, S., Zhang, L., Paaso, A., Lelic, M., & Flinn, D. (2020). Levelized Cost of Energy Calculations for Microgrid-Integrated Solar-Storage Technology. Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference, 2020-October. https://doi.org/10.1109/TD39804.2020.9300022

Ikram, A. I., Shafiullah, M., Islam, M. R., & Rocky, M. K. (2024). Techno-Economic Assessment and Environmental Impact Analysis of Hybrid Storage System Integrated Microgrid. Arabian Journal for Science and Engineering, 49(12), 15917 – 15934. https://doi.org/10.1007/s13369-024-08735-x

Im, K. S., Son, T. Y., Kim, K., Kim, J. F., & Nam, S. Y. (2019). Research and development trend of electrolyte membrane applicable to water electrolysis system. Applied Chemistry for Engineering, 30(4), 389 – 398. https://doi.org/10.14478/ace.2019.1052

Jamil, S. R., Wang, L., Tang, C., Khan, H. M. S., & Che, D. (2022). The role and impact of costing method in the decision-making of energy project: A comparative assessment between levelized cost of energy and benefit-to-cost ratio analysis. International Journal of Energy Research, 46(4), 4754 – 4769. https://doi.org/10.1002/er.7470

Jayasree, S., Hemamalini, V., Bansal, S., Al-Farouni, M., Chaudhari, R. J., Landage, M., & Suresh Babu, D. (2024). Integrated Fuel Cell and Electrolyzer Systems for Renewable Energy Storage and Conversion. E3S Web of Conferences, 591. https://doi.org/10.1051/e3sconf/202459105004

Jhodkar, D., Karanjekar, S., Chede, B., Choudhary, A. K., & Bajpai, T. (2024). Sustainable supply chain practices in the emerging hydrogen transportation industry. In Hydrogen Energy: Production, Storage, and Utilization. https://doi.org/10.1201/9781003537816-14

Kabeyi, M. J. B., & Olanrewaju, O. A. (2023). The levelized cost of energy and modifications for use in electricity generation planning. Energy Reports, 9, 495 – 534. https://doi.org/10.1016/j.egyr.2023.06.036

Kambhampati, V., Dobbelsteen, A. van den, & Schild, J. (2024). Moving Beyond Diesel Generators: Exploring Renewable Backup Alternatives for Data Centers. Journal of Physics: Conference Series, 2929(1). https://doi.org/10.1088/1742-6596/2929/1/012008

Kaur, S., & Gupta, S. (2024). Energy Management in Microgrid using Linear programming Optimization. 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024. https://doi.org/10.1109/ICCCNT61001.2024.10726110

Kiran, S. R., Chawan, S., Vinayaka, B. S., Yashas, M., & Modi, S. (2024). Design and Implementation of Hybrid Microgrid. 3rd International Conference on Communication, Control, and Intelligent Systems, CCIS 2024. https://doi.org/10.1109/CCIS63231.2024.10932032

Kumar, P. P., Nuvvula, R. S. S., Shezan, S. A., Ahammed, S. R., Babu, J. M., Satyanarayana, V., & Ali, A. (2024). Intelligent Energy Management System for Microgrids using Reinforcement Learning. 12th International Conference on Smart Grid, IcSmartGrid 2024, 322 – 328. https://doi.org/10.1109/icSmartGrid61824.2024.10578215

Kunze, K. (2024). Fuels – Hydrogen – Hydrogen Storage | Compressed. In Encyclopedia of Electrochemical Power Sources: Volume 1-7, Second Edition (Vol. 6). https://doi.org/10.1016/B978-0-323-96022-9.00288-7

Liu, J., Wang, M., Peng, J., Chen, X., Cao, S., & Yang, H. (2020). Techno-economic design optimization of hybrid renewable energy applications for high-rise residential buildings. Energy Conversion and Management, 213. https://doi.org/10.1016/j.enconman.2020.112868

Luo, Y. (2023). Multi-objective optimization of microgrid based on improved ant lion optimization algorithm. 2023 2nd International Conference on Smart Grids and Energy Systems, SGES 2023, 100 – 105. https://doi.org/10.1109/SGES59720.2023.10367022

Lv, P. (2023). Hydrogen storage technology. In Towards Hydrogen Infrastructure: Advances and Challenges in Preparing for the Hydrogen Economy. https://doi.org/10.1016/B978-0-323-95553-9.00001-7

Ma, Z., Jessen, S. H., & Norregaard Jorgensen, B. (2024). Multi-dimensional Microgrid Ecosystem Performance Metrics Identification. 2024 IEEE Technology and Engineering Management Society, TEMSCON LATAM 2024. https://doi.org/10.1109/TEMSCONLATAM61834.2024.10717646

Mandić, M., Miri, M., Barišić, M., & Popović, I. (2023). A Sizing and Techno-Economic Analysis for Local Hybrid Microgrid. 2023 8th International Conference on Smart and Sustainable Technologies, SpliTech 2023. https://doi.org/10.23919/SpliTech58164.2023.10193118

Micciancio, M., & Di Palma, L. (2024). A Review on Nano-Based Technologies for Decarbonization of Chemical Industrial Processes. Chemical Engineering Transactions, 111, 439 – 444. https://doi.org/10.3303/CET24111074

Mitsushima, S., & Hacker, V. (2018). Role of hydrogen energy carriers. In Fuel Cells and Hydrogen: From Fundamentals to Applied Research. https://doi.org/10.1016/B978-0-12-811459-9.00011-6

Nesihath, M. K., Muraleedharan, V., Nafeesa, K., & Sreedharan, S. (2022). Optimal Energy Management System for Hybrid Residential Microgrids. International Conference on Futuristic Technologies in Control Systems and Renewable Energy, ICFCR 2022. https://doi.org/10.1109/ICFCR54831.2022.9893700

Parameswari, S., Suresh Kumar, V., Vishnu Dharssini, A. C., & Charles Raja, S. (2024). Comparative Machine Learning-based Techno-Economic Feasibility Analysis of Hybrid Renewable Energy Systems. 2024 IEEE 1st International Conference on Green Industrial Electronics and Sustainable Technologies, GIEST 2024. https://doi.org/10.1109/GIEST62955.2024.10959924

Price, C. R., Nimbalkar, S. U., Thirumaran, K., & Cresko, J. (2023). Smart Manufacturing Pathways for Industrial Decarbonization and Thermal Process Intensification. Smart and Sustainable Manufacturing Systems, 7(1), 41 – 53. https://doi.org/10.1520/SSMS20220027

Qamar, H. G. M., Guo, X., Ghith, E., & Tlija, M. (2024). A Novel Approach to Energy Management with Power Quality Enhancement in Hydrogen Based Microgrids through Numerical Simulation. Applied Sciences (Switzerland), 14(17). https://doi.org/10.3390/app14177607

Saxena, A., Aishwarya, B. K., Badhoutiya, A., Raj, V. H., Gupta, M., & Khayoon, A. T. (2024). Designing a Resilient Microgrid for Disaster-Prone Areas Using Renewable Energy Sources. TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024. https://doi.org/10.1109/TQCEBT59414.2024.10545138

Shabani, B., & Andrews, J. (2015). Hydrogen and fuel cells. Green Energy and Technology, 201, 453 – 491. https://doi.org/10.1007/978-81-322-2337-5_17

Singh, A., Jadhav, A., & Singh, P. (2024). AI Applications in Production. In Industry 4.0, Smart Manufacturing, and Industrial Engineering: Challenges and Opportunities. https://doi.org/10.1201/9781003473886-7

Sovacool, B. K., Iskandarova, M., & Geels, F. W. (2024). Leading the post-industrial revolution? Policy windows, issue linkage and decarbonization dynamics in the UK’s net-zero strategy (2010–2022). Industrial and Corporate Change, 33(6), 1487 – 1517. https://doi.org/10.1093/icc/dtae015

Sultana, M., Rahman, M., Das, N., & Ur Rashid, M. M. (2021). Feasibility and Techno-Economic Analysis of an Off-grid Hybrid Energy System: A Char Area in Bangladesh. 2021 International Conference on Science and Contemporary Technologies, ICSCT 2021. https://doi.org/10.1109/ICSCT53883.2021.9642703

Tsuchiya, K., Yamaguchi, H., & Matsubara, Y. (2021). Hybrid energy systems integrating hydrogen: Challenges and research gaps. Renewable and Sustainable Energy Reviews, 151, 111574. https://doi.org/10.1016/j.rser.2021.111574

Ullah, Z., Wang, S., Lai, J., Azam, M., Badshah, F., Wu, G., & Elkadeem, M. R. (2023). Implementation of various control methods for the efficient energy management in hybrid microgrid system. Ain Shams Engineering Journal, 14(5). https://doi.org/10.1016/j.asej.2022.101961

Van, L. P., Chi, K. Do, & Duc, T. N. (2023). Review of hydrogen technologies based microgrid: Energy management systems, challenges and future recommendations. International Journal of Hydrogen Energy, 48(38), 14127 – 14148. https://doi.org/10.1016/j.ijhydene.2022.12.345

Vartak, S., & Madlener, R. (2022). A Conceptual Framework for Determining the Economically Optimal Level of Microgrid Resilience. Lecture Notes in Operations Research, Part F3782, 194 – 199. https://doi.org/10.1007/978-3-031-08623-6_30

Venkataramanan, V., Hahn, A., & Srivastava, A. (2019). Cyphyr: A cyber-physical analysis tool for measuring and enabling resiliency in microgrids. IET Cyber-Physical Systems: Theory and Applications, 4(4), 313 – 321. https://doi.org/10.1049/iet-cps.2018.5069

Veronese, E., Manzolini, G., & Moser, D. (2021). Improving the traditional levelized cost of electricity approach by including the integration costs in the techno-economic evaluation of future photovoltaic plants. International Journal of Energy Research, 45(6), 9252 – 9269. https://doi.org/10.1002/er.6456

Wei, M., McMillan, C. A., & de la Rue du Can, S. (2019). Electrification of Industry: Potential, Challenges and Outlook. Current Sustainable/Renewable Energy Reports, 6(4), 140 – 148. https://doi.org/10.1007/s40518-019-00136-1

Wongyai, J., Tayjasanant, T., & Masuta, T. (2024). Optimal Scheduling and Sizing of Battery Energy Storage System in an Industrial Microgrid. Proceedings of International Conference on Harmonics and Quality of Power, ICHQP, 132 – 136. https://doi.org/10.1109/ICHQP61174.2024.10768719

Xie, Z., Jin, Q., Su, G., & Lu, W. (2024). A Review of Hydrogen Storage and Transportation: Progresses and Challenges. Energies, 17(16). https://doi.org/10.3390/en17164070

Yalta, J., Makinen, S., Kotilainen, K., Jarventausta, P., & Mendes, G. (2018). Comparison of Regulatory Challenges Faced by Different Microgrid Ownership Models. Proceedings - 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018. https://doi.org/10.1109/ISGTEurope.2018.8571890

Zahraoui, Y., Korotko, T., Rosin, A., & Ahmadiahangar, R. (2023). Stochastic Energy Management for Battery Storage System-Based Microgrid Considering Different Forecasting Models. CPE-POWERENG 2023 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering. https://doi.org/10.1109/CPE-POWERENG58103.2023.10227451

Zarate-Perez, E., Santos-Mejía, C., & Sebastián, R. (2023). Reliability of autonomous solar-wind microgrids with battery energy storage system applied in the residential sector. Energy Reports, 9, 172 – 183. https://doi.org/10.1016/j.egyr.2023.05.239

Zarma, T. A., Karataev, T., Suleiman, H. U., Adeleke, A. A., & Galadima, A. A. (2024). Design of an Optimal Energy Management Strategy for Hybrid Microgrid Systems. IEEE International Conference on Emerging and Sustainable Technologies for Power and ICT in a Developing Society, NIGERCON, 2024. https://doi.org/10.1109/NIGERCON62786.2024.10927012

Zhang, F., Zhao, P., Niu, M., & Maddy, J. (2016). The survey of key technologies in hydrogen energy storage. International Journal of Hydrogen Energy, 41(33), 14535 – 14552. https://doi.org/10.1016/j.ijhydene.2016.05.293

Zhao, X., Wang, X., & Zhang, Z. (2023). Advanced optimization strategies for hydrogen-based hybrid energy systems: Challenges and solutions. International Journal of Hydrogen Energy, 48(38), 14127–14148. https://doi.org/10.1016/j.ijhydene.2022.12.345

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2026-04-29

How to Cite

Imeldawaty Gultom, Wibisono Wibisono, Sigit Wibisono, Aji Nurohman, & Irlon Irlon. (2026). Design and Techno Economic Performance Assessment of Hydrogen Based Hybrid Microgrid Systems for Sustainable Industrial Energy Management. International Journal of Mechanical, Industrial and Control Systems Engineering, 1(1), 78–100. https://doi.org/10.61132/ijmicse.v1i1.401